In-depth Analysis of Real-time AI Concept Stock Market: Computing Power and Application Dual Mainlines Lead the Market, New Logic of Institutional Fund Allocation

With the continuous breakthroughs in artificial intelligence technology and the acceleration of commercialization, the AI concept stock market is showing unprecedented vitality. In the trading on September 19, 2026, the AI sector once again became the market focus, with computing power and application dual mainlines leading market trends, and institutional fund allocation presenting a new logic. This article will conduct an in-depth analysis of the current real-time AI concept stock market, reveal market hotspots and investment opportunities, and provide comprehensive market interpretation and strategic advice for investors.

I. Overall Performance of AI Concept Stocks: Market Heat Continues to Rise

As of the close on September 19, 2026, AI concept stocks showed strong overall performance, with the SSE AI Index up 2.35%, the SZSE AI Index up 2.78%, and the ChiNext AI Index surging 3.12%. From the perspective of sector performance, AI concept stocks exhibited obvious differentiation, with sub-sectors such as the computing power industry chain, large model concept stocks, and AI application segments performing particularly prominently.

In terms of individual stocks, leading stocks like Accelink, Cambricon, and iFlytek performed remarkably, rising by 8.56%, 7.23%, and 6.89% respectively. Notably, the trading volume of AI concept stocks increased significantly compared to the previous day, showing the market's continuous attention and investment in the AI sector. The holding ratio of institutional investors in AI concept stocks also reached a new high, indicating their long-term optimism about the AI industry.

II. Computing Power Mainline: Dual Drivers of Domestic Substitution and Technological Innovation

As the infrastructure of the AI industry, computing power has always been a market focus. In the current AI concept stock market, the computing power mainline is particularly prominent, mainly benefiting from the dual drivers of domestic substitution and technological innovation.

1. Breakthrough in Domestic Computing Power Chips

Recently, domestic AI inference chips have delivered good news again. The T20 chip released by Enflame Technology has reached an internationally advanced level in performance, significantly reducing the cost of large model deployment. This technological breakthrough has attracted strong market attention to the domestic computing power industry chain. With policy support, domestic computing power chip companies are accelerating their rise and becoming important investment targets for AI concept stocks.

2. Upgrading of Computing Power Infrastructure

With the popularization of AI applications, the demand for computing power infrastructure continues to grow. Enterprises like Huawei Ascend and Cambricon are deepening their layout in the computing power chip field, while infrastructure such as data centers and cloud computing is also accelerating its upgrade. These factors jointly promote the improvement of the prosperity of the computing power industry chain, and related concept stocks show strong performance.

III. Application Mainline: Commercialization and Scenario Expansion

In response to the computing power mainline, the AI application end is also showing a vigorous development trend. With the maturity of large model technology, AI application scenarios are continuously expanding, and the commercialization process is accelerating, becoming another mainline of market attention.

1. Accelerated Commercialization of Large Models

Domestic large model enterprises such as Zhipu AI and MiniMax are accelerating their commercialization process, and their products have made breakthroughs in multiple fields. In particular, the explosion of Zhipu AI's 100 billion valuation has further enhanced market expectations for the commercialization prospects of AI large models. Large model concept stocks are thus favored by funds and show active performance.

2. Expansion of AI Application Scenarios

AI application scenarios are expanding from traditional fields such as the internet and finance to more industries like manufacturing, healthcare, and education. The rise of new application scenarios such as AI digital human live streaming, AI picture book creation, and AI programming tools brings new growth points to AI concept stocks. The expansion of these application scenarios not only enhances the commercial value of AI technology but also brings tangible benefits to related enterprises.

IV. New Logic of Institutional Fund Allocation: From Technological Breakthroughs to Commercialization

With the development of the AI industry, the allocation logic of institutional funds is also changing. From the early focus on technological breakthroughs to the current focus on commercialization, institutional investors are paying more attention to the actual value and profitability of AI concept stocks when evaluating them.

1. Changes in Fund Flow

The portfolio adjustment trends of institutional investors such as public funds show that the AI investment mainline is shifting from computing power to the application end. Commercialization realization has become the keyword for the second half, and enterprises that can achieve commercialization and generate actual returns are more favored by institutions. This change in fund flow reflects the market's mature expectations for the development of the AI industry.

2. Layout of Industrial Capital

Industrial capital's layout in the AI field also shows new characteristics. In addition to traditional investment institutions, more and more industrial capital is starting to focus on the AI application end, especially in investments in manufacturing intelligence and medical AI. The involvement of industrial capital not only brings financial support to AI concept stocks but also provides practical application scenarios for their commercialization.

V. Investment Opportunities and Risk Analysis

In the current AI concept stock market, investors need to pay attention to the following investment opportunities and risks:

1. Investment Opportunities

• Computing Power Industry Chain: Leading enterprises in the fields of domestic computing power chips, data centers, and cloud computing, benefiting from the dual drivers of domestic substitution and technological innovation.
• Large Model Concept Stocks: Large model enterprises with technological advantages and commercialization capabilities, especially those with breakthroughs in multimodal large models and vertical domain large models.
• AI Application End: Enterprises with layouts in emerging application scenarios such as AI digital humans, AI creation tools, and AI programming, which have great growth potential in these fields.
• Manufacturing Intelligence: As manufacturing intelligence becomes a new growth engine, related AI solution providers will迎来 development opportunities.

2. Risk Warnings

• Technological Risk: AI technology is developing rapidly, and technological routes may change. Enterprises need to continuously invest in R&D to maintain competitiveness.
• Policy Risk: The AI industry is greatly affected by policies, and policy changes may have a significant impact on related enterprises.
• Market Competition Risk: The AI market is highly competitive, and new entrants may pose a threat to existing enterprises.
• Commercialization Risk: Although some AI technologies are advanced, their commercialization may face challenges and require time to verify.

VI. Future Trend Forecast

Looking ahead, the AI concept stock market will show the following trends:

1. Synergistic Development of Computing Power and Application

Computing power and application will develop more synergistically. The upgrading of computing power infrastructure will provide stronger support for AI applications, while the expansion of AI applications will also drive the growth of computing power demand. This synergistic effect will further enhance the overall competitiveness of the AI industry.

2. Accelerated Commercialization

With the maturity of AI technology, the commercialization process will further accelerate. Especially in traditional industries such as manufacturing, healthcare, and education, AI applications will迎来 explosive growth. Enterprises that can achieve commercialization will gain more market opportunities.

3. In-depth Participation of Industrial Capital

Industrial capital's participation in the AI field will be more in-depth, shifting from investment to practical application, providing more practical scenarios and financial support for AI concept stocks. This in-depth participation of industrial capital will promote the healthy development of the AI industry.

4. Intensified International Competition

With the development of the global AI industry, international competition will become more intense. Domestic AI enterprises need to continuously improve in technological innovation and commercialization to cope with international competitive pressure.

VII. Investment Strategy Recommendations

For the current AI concept stock market, investors can adopt the following strategies:

1. Focus on Dual Mainline Opportunities

Continue to focus on opportunities in the dual mainlines of computing power and application, especially in investment opportunities such as domestic computing power chips, large model commercialization, and AI application scenario expansion. At the same time, pay attention to the synergistic effect of the two mainlines and choose enterprises with comprehensive competitiveness.

2. Emphasize Commercialization Capability

When investing in AI concept stocks, pay more attention to the commercialization capability of enterprises. Enterprises that can achieve commercialization and generate actual returns will have greater investment value. Focus on indicators such as revenue growth and profitability of enterprises.

3. Diversify Investment Risks

The AI concept stock market is highly volatile. Investors should adopt a diversified investment strategy to avoid concentrating investments in a single enterprise or a single field. At the same time, pay attention to controlling positions and avoid excessive speculation.

4. Combine Long-term Holding and Short-term Trading

For AI enterprises with long-term development potential, a long-term holding strategy can be adopted; for short-term hotspots, appropriate swing trading can be conducted. Flexibly adjust investment strategies according to market changes and enterprise development.

VIII. Conclusion

The AI concept stock market is experiencing a critical stage from technological breakthroughs to commercialization. The dual mainlines of computing power and application lead market trends, and institutional fund allocation presents a new logic. Investors should closely follow market changes, seize investment opportunities, and pay attention to risk control. With the continuous development of the AI industry, the AI concept stock market will迎来 more opportunities, bringing rich returns to investors.

In this golden age of AI investment in 2026, Yueya Finance will continue to focus on the real-time market and investment opportunities of AI concept stocks, providing investors with timely and accurate market analysis and strategic advice. Follow us now to seize new opportunities in the AI era.